WO2001091111A1 - Translation/pliage spectral ameliore(e) dans le domaine sous-bande - Google Patents

Translation/pliage spectral ameliore(e) dans le domaine sous-bande Download PDF

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Publication number
WO2001091111A1
WO2001091111A1 PCT/SE2001/001171 SE0101171W WO0191111A1 WO 2001091111 A1 WO2001091111 A1 WO 2001091111A1 SE 0101171 W SE0101171 W SE 0101171W WO 0191111 A1 WO0191111 A1 WO 0191111A1
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WO
WIPO (PCT)
Prior art keywords
frequency
filterbank
subband signals
folding
decoder
Prior art date
Application number
PCT/SE2001/001171
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English (en)
Inventor
Lars Gustaf Liljeryd
Per Ekstrand
Fredrik Henn
Kristofer KJÖRLING
Original Assignee
Coding Technologies Sweden Ab
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
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Priority to AT01937069T priority Critical patent/ATE250272T1/de
Priority to AU2001262836A priority patent/AU2001262836A1/en
Priority to BRPI0111362A priority patent/BRPI0111362B1/pt
Priority to EP01937069A priority patent/EP1285436B1/fr
Priority to JP2001587421A priority patent/JP4289815B2/ja
Priority to US10/296,562 priority patent/US7483758B2/en
Priority to BR122015001402-6A priority patent/BR122015001402B1/pt
Priority to DE60100813T priority patent/DE60100813T2/de
Priority to BR122015001401-8A priority patent/BR122015001401B1/pt
Application filed by Coding Technologies Sweden Ab filed Critical Coding Technologies Sweden Ab
Publication of WO2001091111A1 publication Critical patent/WO2001091111A1/fr
Priority to SE0203468A priority patent/SE523883C2/sv
Priority to HK03107851A priority patent/HK1067954A1/xx
Priority to US12/253,135 priority patent/US7680552B2/en
Priority to US12/703,553 priority patent/US8412365B2/en
Priority to US13/460,797 priority patent/US8543232B2/en
Priority to US13/969,708 priority patent/US9245534B2/en
Priority to BR122015001400A priority patent/BR122015001400B1/pt
Priority to US14/964,836 priority patent/US9548059B2/en
Priority to US15/370,054 priority patent/US9697841B2/en
Priority to US15/446,524 priority patent/US9691401B1/en
Priority to US15/446,553 priority patent/US9691402B1/en
Priority to US15/446,505 priority patent/US9691400B1/en
Priority to US15/446,485 priority patent/US9691399B1/en
Priority to US15/446,562 priority patent/US9691403B1/en
Priority to US15/446,535 priority patent/US9786290B2/en
Priority to US15/677,454 priority patent/US10008213B2/en
Priority to US15/988,135 priority patent/US10311882B2/en
Priority to US16/274,044 priority patent/US10699724B2/en
Priority to US16/908,758 priority patent/US20200388294A1/en

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Classifications

    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
    • G10L19/02—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using spectral analysis, e.g. transform vocoders or subband vocoders
    • G10L19/0204—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using spectral analysis, e.g. transform vocoders or subband vocoders using subband decomposition
    • G10L19/0208—Subband vocoders
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/038—Speech enhancement, e.g. noise reduction or echo cancellation using band spreading techniques
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
    • G10L19/0017—Lossless audio signal coding; Perfect reconstruction of coded audio signal by transmission of coding error
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
    • G10L19/04—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using predictive techniques
    • G10L19/26—Pre-filtering or post-filtering
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
    • G10L19/04—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using predictive techniques
    • G10L19/26—Pre-filtering or post-filtering
    • G10L19/265—Pre-filtering, e.g. high frequency emphasis prior to encoding
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
    • G10L19/02—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using spectral analysis, e.g. transform vocoders or subband vocoders
    • G10L19/0204—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using spectral analysis, e.g. transform vocoders or subband vocoders using subband decomposition

Definitions

  • the present invention relates to a new method and apparatus for improvement of High Frequency Reconstruction (HFR) techniques, applicable to audio source coding systems.
  • Significantly reduced computational complexity is achieved using the new method. This is accomplished by means of frequency translation or folding in the subband domain, preferably integrated with the spectral envelope adjustment process.
  • the invention also improves the perceptual audio quality through the concept of dissonance guard-band filtering.
  • the proposed invention offers a low- complexity, intermediate quality HFR method and relates to the PCT patent Spectral Band Replication (SBR) [WO 98/57436].
  • HFR Prior-art HFR methods are, apart from noise insertion or non- linearities such as rectification, generally utilizing so-called copy-up techniques for generation of the highband signal. These techniques mainly employ broadband linear frequency shifts, i.e. translations, or frequency inverted linear shifts, i.e. foldings.
  • the prior-art HFR methods have primarily been intended for the improvement of speech codec performance.
  • Recent developments in highband regeneration using perceptually accurate methods have however made HFR methods successfully applicable also to natural audio codecs, coding music or other complex programme material, PCT patent [WO 98/57436].
  • simple copy-up techniques have shown to be adequate when coding complex programme material as well. These techniques have shown to produce reasonable results for intermediate quality applications and in particular for codec implementations where there are severe constraints for the computational complexity of the overall system.
  • any periodic signal may be expressed as a sum of sinusoids with frequencies/, If, 3f 5/ etc. where/is the fundamental frequency.
  • the frequencies form a harmonic series.
  • Tonal affinity refers to the relations between the perceived tones or harmonics, hi natural sound reproduction such tonal affinity is controlled and given by the different type of voice or instrument used.
  • the general idea with HFR techniques is to replace the original high frequency information with information created from the available lowband and subsequently apply spectral envelope adjustment to this information.
  • Prior-art HFR methods create highband signals where tonal affinity often is uncontrolled and impaired.
  • the methods generate non-harmonic frequency components which cause perceptual artifacts when applied to complex programme material. Such artifacts are referred to in the coding literature as "rough" sounding and are perceived by the listener as distortion.
  • Plomp states that the human auditory system can not discriminate two partials if they differ in frequency by approximately less than five percent of the critical band in which they are situated, or equivalently, are separated less than 0,05 Bark in frequency. On the other hand, if the distance between the partials are more than approximately 0,5 Bark, they will be perceived as separate tones.
  • Dissonance theory partly explains why prior-art methods give unsatisfactory performance.
  • a set of consonant partials translated upwards in frequency may become dissonant.
  • the partials can interfere, since they may not be within the limits of acceptable deviation according to the dissonance-rules.
  • the present invention provides a new method and device for improvements of translation or folding techniques in source coding systems.
  • the objective includes substantial reduction of computational complexity and reduction of perceptual artifacts.
  • the invention shows a new implementation of a subsampled digital filter bank as a frequency translating or folding device, also offering improved crossover accuracy between the lowband and the translated or folded bands. Further, the invention teaches that crossover regions, to avoid sensory dissonance, benefits from being filtered. The filtered regions are called dissonance guard-bands, and the invention offers the possibility to reduce dissonant partials in an uncomplicated and accurate manner using the subsampled filterbank.
  • the new filterbank based translation or folding process may advantageously be integrated with the spectral envelope adjustment process.
  • the filterbank used for envelope adjustment is then used for the frequency translation or folding process as well, in that way eliminating the need to use a separate filterbank or process for spectral envelope adjustment.
  • the proposed invention offers a unique and flexible filterbank design at a low computational cost, thus creating a very effective translation/folding/envelope-adjusting system.
  • the proposed invention is advantageously combined with the Adaptive Noise-Floor
  • the proposed subband domain based translation of folding technique comprise the following steps:
  • Attractive applications of the proposed invention relates to the improvement of various types of intermediate quality codec applications, such as MPEG 2 Layer IE, MPEG 2/4 AAC, Dolby AC- 3, NTT TwinVQ, AT&T/Lucent PAC etc. where such codecs are used at low bitrates.
  • the invention is also very useful in various speech codecs such as G. 729 MPEG-4 CELP and HVXC etc to improve perceived quality.
  • the above codecs are widely used in multimedia, in the telephone industry, on the Internet as well as in professional multimedia applications.
  • Fig. 1 illustrates filterbank-based translation or folding integrated in a coding system according to the present invention
  • Fig. 2 shows a basic structure of a maximally decimated filterbank
  • Fig. 3 illustrates spectral translation according to the present invention
  • Fig. 4 illustrates spectral folding according to the present invention
  • Fig. 5 illustrates spectral translation using guard-bands according to the present invention.
  • the signal under consideration is decomposed into a series of subband signals by the analysis part of the filterbank.
  • the subband signals are then repatched, through reconnection of analysis- and synthesis subband channels, to achieve spectral translation or folding or a combination thereof.
  • Fig. 2 shows the basic structure of a maximally decimated filterbank analysis/synthesis system.
  • the analysis filter bank 201 splits the input signal into several subband signals.
  • the synthesis filter bank 202 combines the subband samples in order to recreate the original signal. Implementations using maximally decimated filter banks will drastically reduce computational costs. It should be appreciated, that the invention can be implemented using several types of filter banks or transforms, including cosine or complex exponential modulated filter banks, filter bank interpretations of the wavelet transform, other non-equal bandwidth filter banks or transforms and multi-dimensional filter banks or transforms.
  • an E-channel filter bank splits the input signal x(n) into L subband signals.
  • the input signal with sampling frequency/, is bandlimited to frequency f c .
  • the subband signals vt(n) are maximally decimated, each of sampling frequency f L, after passing the decimators 204,
  • the synthesis section with the synthesis filters denoted Et(z), reassembles the subband signals after interpolation 205 and filtering 206 to produce x( ⁇ ) .
  • the present invention performs a spectral reconstruction onx(n) , giving an enhanced signal y( ).
  • the reconstruction range start channel denoted M, is determined by
  • the number of source area channels is denoted S (1 ⁇ S ⁇ M).
  • v M+k 00 e M+k (n) v * M _ _£_ (n) , (4)
  • k e [0, S-l], (-l) s+p -1, i.e. S+P is an odd integer number
  • R is an integer offset (1-S ⁇ P ⁇ M-2S+1)
  • e M+k (n) is the envelope correction.
  • the operator [*] denotes complex conjugation. Usually, the repatching process is repeated until the intended amount of high frequency bandwidth is attained.
  • the number of subband channels maybe increased after the analysis filtering. Filtering the subband signals with a QL-channel synthesis filter bank, where only the L lowband channels are used and the upsampling factor Q is chosen so that QL is an integer value, will result in an output signal with sampling frequency Qf s .
  • the extended filter bank will act as if it is an J-channel filter bank followed by an upsampler.
  • the filter bank Since, in this case, the L(Q-1) highband filters are unused (fed with zeros), the audio bandwidth will not change - the filter bank will merely reconstruct an upsampled version of x(n) . If, however, the L subband signals are repatched to the highband channels, according to Eq.(3) or (4), the bandwidth of x(n) will be increased. Using this scheme, the upsampling process is integrated in the synthesis filtering. It should be noted that any size of the synthesis filter bank may be used, resulting in different sampling rates of the output signal.
  • the subband signals could also be synthesized using a 32-channel filterbank, where the four uppermost channels are fed with zeros, illustrated by the dashed lines in the figure, producing an output signal with sampling frequency 2f s .
  • the subbands are synthesized with a 32-channel filterbank.
  • this repatching results in two reconstructed frequency bands - one band emerging from the repatching of subband signals to channels 16 to 23, which is a folded version of the bandpass signal extracted by channels 8 to 15, and one band emerging from the repatching to channels 24 to 31, which is a translated version of the same bandpass signal.
  • Sensory dissonance may develop in the translation or folding process due to adjacent band interference, i.e. interference between partials in the vicinity of the crossover region between instances of translated bands and the lowband.
  • This type of dissonance is more common in harmonic rich, multiple pitched programme material.
  • guard-bands are inserted and may preferably consist of small frequency bands with zero energy, i.e. the crossover region between the lowband signal and the replicated spectral band is filtered using a bandstop or notch filter. Less perceptual degradation will be perceived if dissonance reduction using guard-bands is performed.
  • the bandwidth of the guard-bands should preferably be around 0,5 Bark. If less, dissonance may result and if wider, comb-filter-like sound characteristics may result.
  • guard-bands could be inserted and may preferably consist of one or several subband channels set to zero.
  • D is a small integer and represents the number of filterbank channels used as guardband.
  • P+S+D should be an even integer in Eq.(5) and an odd integer in Eq.(6).
  • P takes the same values as before.
  • Fig. 5 shows the repatching of a 32-channel filterbank using Eq.(5).
  • D should preferably be chosen as to make the bandwidth of the guardbands 0,5 Bark.
  • the guardbands are illustrated by the subbands with the dashed line-connections.
  • the dissonance guard-bands may be partially reconstructed using a random white noise signal, i.e. the subbands are fed with white noise instead of being zero.
  • the preferred method uses Adaptive Noise-floor Addition (ANA) as described in the PCT patent application [SE00/00159]. This method estimates the noise-floor of the highband of the original signal and adds synthetic noise in a well-defined way to the recreated highband in the decoder.
  • ANA Adaptive Noise-floor Addition
  • Fig. 1 shows the decoder of an audio coding system.
  • the demultiplexer 101 separates the envelope data and other HFR related control signals from the bitstream and feeds the relevant part to the arbitrary lowband decoder 102.
  • the lowband decoder produces a digital signal which is fed to the analysis filterbank 104.
  • the envelope data is decoded in the envelope decoder 103, and the resulting spectral envelope information is fed together with the subband samples from the analysis filterbank to the integrated translation or folding and envelope adjusting filterbank unit 105.
  • This unit translates or folds the lowband signal, according to the present invention, to form a wideband signal and applies the transmitted spectral envelope.
  • the processed subband samples are then fed to the synthesis filterbank 106, which might be of a different size than the analysis filterbank.
  • the digital wideband output signal is finally converted 107 to an analogue output signal.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Signal Processing (AREA)
  • Computational Linguistics (AREA)
  • Quality & Reliability (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
  • Optical Communication System (AREA)
  • Optical Modulation, Optical Deflection, Nonlinear Optics, Optical Demodulation, Optical Logic Elements (AREA)
  • Machine Translation (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Curing Cements, Concrete, And Artificial Stone (AREA)
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Abstract

La présente invention concerne un nouveau procédé et un nouvel appareil permettant d'améliorer les techniques de reconstitution haute fréquence (HFR) utilisant la translation ou le pliage de fréquences ou leur association. L'invention s'applique à des systèmes de codage de source audio et offre une complexité informatique notablement réduite grâce à une translation ou un pliage de fréquences dans le domaine sous-bande, de préférence intégré(e) à un ajustement d'enveloppe spectrale dans le même domaine. L'invention concerne également le concept de dissonance de filtrage d'anneau de garde. L'invention offre un procédé HFR, de qualité intermédiaire et de faible complexité, utile dans le domaine des paroles et les applications de codage audio naturelles.
PCT/SE2001/001171 2000-05-23 2001-05-23 Translation/pliage spectral ameliore(e) dans le domaine sous-bande WO2001091111A1 (fr)

Priority Applications (28)

Application Number Priority Date Filing Date Title
DE60100813T DE60100813T2 (de) 2000-05-23 2001-05-23 Verbesserte spektrale übersetzung/faltung im subband-bereich
BR122015001402-6A BR122015001402B1 (pt) 2000-05-23 2001-05-23 Método para obter um envelope ajustado e um sinal transladado em frequência e aparelho para obter um envelope ajustado e um sinal transladdo em frequência
BRPI0111362A BRPI0111362B1 (pt) 2000-05-23 2001-05-23 método para obter um sinal transladado em frequência e com envelope ajustado, método para obter um sinal rebatido em frequência e com envelope ajustado, aparelho para obter um sinal transladado na frequência e com envelope ajustado, aparelho para obter um sinal rebatido em frequência e com envelope ajustado, decodificador para decodificar sinais codificados e método para decodificar sinais codificados
EP01937069A EP1285436B1 (fr) 2000-05-23 2001-05-23 Translation/pliage spectral ameliore(e) dans le domaine sous-bande
JP2001587421A JP4289815B2 (ja) 2000-05-23 2001-05-23 サブバンド領域における改良されたスペクトル移動／折返し
US10/296,562 US7483758B2 (en) 2000-05-23 2001-05-23 Spectral translation/folding in the subband domain
BR122015001401-8A BR122015001401B1 (pt) 2000-05-23 2001-05-23 Método para decodificar um sinal codificado para obter um sinal de áudio de saída e aparelho para decodificar um sinal codificado para obter um sinal de áudio de saída
AT01937069T ATE250272T1 (de) 2000-05-23 2001-05-23 Verbesserte spektrale übersetzung/faltung im subband-bereich
AU2001262836A AU2001262836A1 (en) 2000-05-23 2001-05-23 Improved spectral translation/folding in the subband domain
SE0203468A SE523883C2 (sv) 2000-05-23 2002-11-22 Förbättrad spektral översättning/vikning i subbandområdet
HK03107851A HK1067954A1 (en) 2000-05-23 2003-10-31 Method and device for improved spectral translation/folding in the subband domain.
US12/253,135 US7680552B2 (en) 2000-05-23 2008-10-16 Spectral translation/folding in the subband domain
US12/703,553 US8412365B2 (en) 2000-05-23 2010-02-10 Spectral translation/folding in the subband domain
US13/460,797 US8543232B2 (en) 2000-05-23 2012-04-30 Spectral translation/folding in the subband domain
US13/969,708 US9245534B2 (en) 2000-05-23 2013-08-19 Spectral translation/folding in the subband domain
BR122015001400A BR122015001400B1 (pt) 2000-05-23 2015-05-23 Método para obter um sinal transladado em frequência e com envelope ajustado por reconstrução espectral de altafrequência, método para obter um sinal rebatido em frequência e com envelope ajustado por reconstrução espectral de altafrequência,aparelho para obter um sinal transladado em frequência e com envelope ajustado, aparelho para obter um sinal rebatido em frequência e com envelope ajustado,decodificador para decodificar sinais codificados e método para decodificar sinais codificados
US14/964,836 US9548059B2 (en) 2000-05-23 2015-12-10 Spectral translation/folding in the subband domain
US15/370,054 US9697841B2 (en) 2000-05-23 2016-12-06 Spectral translation/folding in the subband domain
US15/446,535 US9786290B2 (en) 2000-05-23 2017-03-01 Spectral translation/folding in the subband domain
US15/446,562 US9691403B1 (en) 2000-05-23 2017-03-01 Spectral translation/folding in the subband domain
US15/446,505 US9691400B1 (en) 2000-05-23 2017-03-01 Spectral translation/folding in the subband domain
US15/446,553 US9691402B1 (en) 2000-05-23 2017-03-01 Spectral translation/folding in the subband domain
US15/446,524 US9691401B1 (en) 2000-05-23 2017-03-01 Spectral translation/folding in the subband domain
US15/446,485 US9691399B1 (en) 2000-05-23 2017-03-01 Spectral translation/folding in the subband domain
US15/677,454 US10008213B2 (en) 2000-05-23 2017-08-15 Spectral translation/folding in the subband domain
US15/988,135 US10311882B2 (en) 2000-05-23 2018-05-24 Spectral translation/folding in the subband domain
US16/274,044 US10699724B2 (en) 2000-05-23 2019-02-12 Spectral translation/folding in the subband domain
US16/908,758 US20200388294A1 (en) 2000-05-23 2020-06-23 Spectral Translation/Folding in the Subband Domain

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
SE0001926A SE0001926D0 (sv) 2000-05-23 2000-05-23 Improved spectral translation/folding in the subband domain
SE0001926-5 2000-05-23

Related Child Applications (3)

Application Number Title Priority Date Filing Date
US10296562 A-371-Of-International 2001-05-23
US10/296,562 A-371-Of-International US7483758B2 (en) 2000-05-23 2001-05-23 Spectral translation/folding in the subband domain
US12/253,135 Continuation US7680552B2 (en) 2000-05-23 2008-10-16 Spectral translation/folding in the subband domain

Publications (1)

Publication Number Publication Date
WO2001091111A1 true WO2001091111A1 (fr) 2001-11-29

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PCT/SE2001/001171 WO2001091111A1 (fr) 2000-05-23 2001-05-23 Translation/pliage spectral ameliore(e) dans le domaine sous-bande

Country Status (12)

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US (17) US7483758B2 (fr)
EP (1) EP1285436B1 (fr)
JP (2) JP4289815B2 (fr)
CN (1) CN1210689C (fr)
AT (1) ATE250272T1 (fr)
AU (1) AU2001262836A1 (fr)
BR (1) BRPI0111362B1 (fr)
DE (1) DE60100813T2 (fr)
HK (1) HK1067954A1 (fr)
RU (1) RU2251795C2 (fr)
SE (2) SE0001926D0 (fr)
WO (1) WO2001091111A1 (fr)

Cited By (16)

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WO2004064451A1 (fr) * 2003-01-09 2004-07-29 Nokia Corporation Traitement de signal audio
JP2007514962A (ja) * 2003-10-30 2007-06-07 コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ オーディオ信号のエンコードまたはデコード
US7318027B2 (en) 2003-02-06 2008-01-08 Dolby Laboratories Licensing Corporation Conversion of synthesized spectral components for encoding and low-complexity transcoding
US7318035B2 (en) 2003-05-08 2008-01-08 Dolby Laboratories Licensing Corporation Audio coding systems and methods using spectral component coupling and spectral component regeneration
US7337118B2 (en) 2002-06-17 2008-02-26 Dolby Laboratories Licensing Corporation Audio coding system using characteristics of a decoded signal to adapt synthesized spectral components
WO2009078681A1 (fr) 2007-12-18 2009-06-25 Lg Electronics Inc. Procédé et appareil pour traiter un signal audio
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